fit_ab

a matrix contains sgRNA read counts.

xvec

a vector contains the library size.

nvec

A C++ function to perform a parameter estimation for the sgRNA-level test. 
It will estimate two different parameters `phat` and `vhat,`
and we assume input count data follows the beta-binomial distribution.
Dr. Keith Baggerly initially implemented this code in Matlab,
and it has been rewritten it in C++ for the speed-up.

Provides functions for hit gene identification and quantification of sgRNA (single-guided RNA) abundances for CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) pooled screen data analysis.
Details are in Jeong et al. (2018) <doi:10.1101/309302> and Baggerly et al. (2003) <doi:10.1093/bioinformatics/btg173>.

Hyun-Hwan Jeong

CRISPR Pooled Screen Analysis using Beta-Binomial Test

fit_ab function

A C++ function to perform a parameter estimation for the sgRNA-level test. 
It will estimate two different parameters `phat` and `vhat,`
and we assume input count data follows the beta-binomial distribution.
Dr. Keith Baggerly initially implemented this code in Matlab,
and it has been rewritten it in C++ for the speed-up. — fit_ab

A C++ function to perform a parameter estimation for the sgRNA-level test. 
It will estimate two different parameters `phat` and `vhat,`
and we assume input count data follows the beta-binomial distribution.
Dr. Keith Baggerly initially implemented this code in Matlab,
and it has been rewritten it in C++ for the speed-up.

Description

Usage

Arguments